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Azure AI/ML Engineer

Q1 Technologies, Inc

  • Aurora, IL
  • 30+ days ago

    Highlights

    Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services). An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems.
    Q1 Technologies, Inc

    Numbers & Facts

    LocationAurora, IL
    IndustryComputer/IT Services
    Company Size500 to 999 employees
    Year Founded1990
    Websitehttp://q1tech.com/

    Description

    Must Have Technical/Functional Skills
    Azure; Core .NET Technologies; Azure ML

    Roles & Responsibilities
    An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems.
    Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services).
    experience in creating secure ML infrastructure aligned with enterprise security standards.
    Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access.
    Good to have AI engineering skills as team is building custom co pilots and intelligent agents.

    About Company

    Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.

    Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

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